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    The M2 Cotidal Chart in the Bohai, Yellow, and East China Seas from Dynamically Constrained Interpolation

    Source: Journal of Atmospheric and Oceanic Technology:;2020:;volume( 37 ):;issue: 007::page 1219
    Author:
    Zheng, Junyong;Mao, Xinyan;Lv, Xianqing;Jiang, Wensheng
    DOI: 10.1175/JTECH-D-19-0212.1
    Publisher: American Meteorological Society
    Abstract: The harmonic constants extracted from tidal gauge stations and satellite altimeter observations are usually sparsely distributed in the continental marginal seas, but they are precious data for addressing the main characteristics of different constituents. In this paper, a dynamically constrained interpolation methodology (DCIM) is developed and applied to interpolate the observed harmonic constants of the M2 constituent from satellite altimeter observations in the Bohai, Yellow, and East China Seas (BYECS) with those from tidal gauge stations for validation. In the DCIM, the tide model provides dynamical constraints to interpolate the observations, and the adjoint assimilation method provides iterative optimization for the interpolated results by adjusting key model parameters. In particular, a substantial quantity of enhanced “observations” generated from the interpolated results of the domain are further interpolated with the sparse observations in the subdomain. The final interpolated results for each subdomain, naturally blending the dynamical constraints from the dynamical model with statistical information from observations, can describe the main characteristics of the M2 constituent in the BYECS, the continental shelf sea of the East China Sea, and the Zhejiang–Fujian coastal area, respectively. The results indicate that the DCIM is feasible and effective to utilize the observations to obtain high-accuracy cotidal charts for regional ocean.
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      The M2 Cotidal Chart in the Bohai, Yellow, and East China Seas from Dynamically Constrained Interpolation

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4264563
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    contributor authorZheng, Junyong;Mao, Xinyan;Lv, Xianqing;Jiang, Wensheng
    date accessioned2022-01-30T18:08:43Z
    date available2022-01-30T18:08:43Z
    date copyright7/15/2020 12:00:00 AM
    date issued2020
    identifier issn0739-0572
    identifier otherjtechd190212.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4264563
    description abstractThe harmonic constants extracted from tidal gauge stations and satellite altimeter observations are usually sparsely distributed in the continental marginal seas, but they are precious data for addressing the main characteristics of different constituents. In this paper, a dynamically constrained interpolation methodology (DCIM) is developed and applied to interpolate the observed harmonic constants of the M2 constituent from satellite altimeter observations in the Bohai, Yellow, and East China Seas (BYECS) with those from tidal gauge stations for validation. In the DCIM, the tide model provides dynamical constraints to interpolate the observations, and the adjoint assimilation method provides iterative optimization for the interpolated results by adjusting key model parameters. In particular, a substantial quantity of enhanced “observations” generated from the interpolated results of the domain are further interpolated with the sparse observations in the subdomain. The final interpolated results for each subdomain, naturally blending the dynamical constraints from the dynamical model with statistical information from observations, can describe the main characteristics of the M2 constituent in the BYECS, the continental shelf sea of the East China Sea, and the Zhejiang–Fujian coastal area, respectively. The results indicate that the DCIM is feasible and effective to utilize the observations to obtain high-accuracy cotidal charts for regional ocean.
    publisherAmerican Meteorological Society
    titleThe M2 Cotidal Chart in the Bohai, Yellow, and East China Seas from Dynamically Constrained Interpolation
    typeJournal Paper
    journal volume37
    journal issue7
    journal titleJournal of Atmospheric and Oceanic Technology
    identifier doi10.1175/JTECH-D-19-0212.1
    journal fristpage1219
    journal lastpage1229
    treeJournal of Atmospheric and Oceanic Technology:;2020:;volume( 37 ):;issue: 007
    contenttypeFulltext
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